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Unsupervised learning and natural language processing highlight research trends in a superbug
Frontiers in Artificial IntelligenceIntroductionAntibiotic-resistant Acinetobacter baumannii is a very important nosocomial pathogen worldwide. Thousands of studies have been conducted about this pathogen. However, there has not been any attempt to use all this information to highlight the
Carlos-Francisco Méndez-Cruz +4 more
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Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities [PDF]
, 2020 Yingkui Wang +3 more
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Secure latent Dirichlet allocation
Frontiers in Digital HealthTopic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label text for further processing. One popular topic modelling
Thijs Veugen +4 more
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BuildingsThe COVID-19 pandemic was a particularly challenging time for the construction industry as it experienced significant disruptions to operations, affecting various stakeholders.
Emmanuel B. Boateng +3 more
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Im KONDE-Projekt, das aus Hochschulraumstrukturmitteln finanziert wird, beschäftigten sich sieben universitäre Partner und drei weitere Einrichtungen aus unterschiedlichen Blickwinkeln mit theoretischen und praktischen Aspekten der Digitalen Edition. Ein Outcome des Projektes stellt das Weißbuch dar, welches über 200 Artikel zum Thema Digitale Edition ...
Yanghui Rao, Qing Li
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A Suggestion on the LDA-Based Topic Modeling Technique Based on ElasticSearch for Indexing Academic Research Results [PDF]
, 2022 Mi Kim, Do‐Sung Kim
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Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron. [PDF]
PLoS One, 2023 Lande J, Pillay A, Chandra R.
europepmc +2 more sources
Visualizing Topic Uncertainty in Topic Modelling
, 2023 Word clouds became a standard tool for presenting results of natural language processing methods such as topic modelling. They exhibit most important words, where word size is often chosen proportional to the relevance of words within a topic. In the latent Dirichlet allocation (LDA) model, word clouds are graphical presentations of a vector of weights
openaire +3 more sources
A Multilevel Clustering Model for Coherent Topic Discovery in Short Texts [PDF]
, 2020 Emmanuel Maithya
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A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries [PDF]
, 2021 Xin Wang +5 more
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